Removing For-Loop

[Korn Moffle]

Hi,

I have been banging my head against the wall - I know I can get rid of for-loop here, but can't figure out how. Please help! I suspect I can do np.sum on the whole adGroup but I am lacking the imagination to visualize it.

for ind in range(adGroup.shape[0]):
        row = adGroup.iloc[ind, :]
        current_hashes, current_cf_id = adArrayHashes[row['hash_seq_array'].astype(int)], [row['cf_id']]

        # calculaton
        hashes_diff = np.array(list(map(lambda x:
                                        np.sum(np.not_equal(start_hashes[x:x + len(current_hashes)], current_hashes),
                                                axis=1),
                                        range(58)
                                        )))
        hashes_diff_scores = np.sum(hashes_diff <= IMG_DIFFER, axis=1)
        hashes_diff_mask = hashes_diff_scores >= SEQ_THRESHOLD
        if any(hashes_diff_mask):
            presumptive_cf_ids.append(current_cf_id[0])
            presumptive_scores.append(max(hashes_diff_scores))

    if queue != 0: queue.put((presumptive_cf_ids, presumptive_scores))
    # return presumptive_cf_ids, presumptive_scores
    return

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